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LangChain应用开发指南-不用向量也可以RAG 精华
在当前AI的落地应用中,最火热的应用首推检索增强生成(Retrieval-Augmented Generation)。它的目的是根据用户的问题,从一个大规模的文档集合中检索出相关的文档,并从中抽取出最合适的答案。RAG的应用场景非常广泛,例如智能客服、知识图谱构建、对话系统等。
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